Fathur Rokhman
Universitas Negeri Semarang, Semarang, Indonesia

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Teacher Professional Development in Modern Islamic Boarding School: A Systematic Literature Review Bunyamin Bunyamin; Fathur Rokhman; Nina Oktarina
Proceedings of International Conference on Science, Education, and Technology Vol. 12 (2026)
Publisher : Universitas Negeri Semarang

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Teacher professional development (TPD) has become increasingly important in modern Islamic boarding schools (pesantren) in response to educational transformation, technological advancement, and the growing demand for high-quality learning. Teachers are expected to possess not only pedagogical competence but also digital literacy, professional commitment, and the ability to integrate Islamic values into educational practices. This study aims to synthesize recent research on teacher professional development in modern pesantren and identify key factors contributing to teacher competence enhancement and educational innovation. A Systematic Literature Review (SLR) was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Fifteen peer-reviewed studies published between 2019 and 2025 were selected based on predefined inclusion criteria and analyzed using thematic synthesis. The findings revealed five dominant themes influencing the effectiveness of teacher professional development: enhancement of pedagogical competence, development of digital literacy and technological adaptation, integration of Islamic values, collaborative professional learning, and leadership support. The review indicates that sustainable and context-sensitive professional development programs contribute significantly to improving instructional quality, teacher professionalism, and educational innovation in pesantren. Based on these findings, an integrative teacher professional development framework is proposed, combining pedagogical innovation, digital literacy, Islamic values integration, collaborative learning communities, and reflective supervision. This study contributes to the growing discourse on teacher professionalism in Islamic education and provides practical recommendations for policymakers, educational leaders, and pesantren administrators in designing sustainable professional development programs.
Developing an Artificial Intelligence-Based Learning Model to Enhance Students’ Critical Thinking Skills in Elementary Education Achmad Sumali; Fathur Rokhman; Wagiran Wagiran
Proceedings of International Conference on Science, Education, and Technology Vol. 12 (2026)
Publisher : Universitas Negeri Semarang

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Abstract

The rapid development of artificial intelligence (AI) technology has opened new opportunities in reforming educational paradigms, particularly in elementary schools. However, the integration of AI-based learning models specifically designed to enhance critical thinking skills at the elementary level remains limited. This study aims to develop and evaluate an AI-based learning model that systematically cultivates critical thinking competencies among elementary school students. A research and development (R&D) approach following the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) was employed. Participants consisted of 120 fourth-grade students from three public elementary schools in Tangerang Selatan, Indonesia, selected through purposive sampling. Data were collected using critical thinking assessment rubrics, learning observation sheets, and student response questionnaires. Validity was established through expert review panels, while reliability was confirmed through Cronbach’s Alpha analysis. Findings revealed that the AI-based learning model demonstrated high validity (mean score 4.32/5.00), strong practicality (86.7%), and significant effectiveness in improving students’ critical thinking skills, with a mean post-test score of 82.4 compared to 61.3 in the pre-test (N-gain = 0.54, categorized as moderate). Students showed particularly notable improvement in the dimensions of analysis, evaluation, and inference. This study contributes an innovative, evidence-based learning model that can be adapted to diverse elementary education contexts and advocates for broader AI integration in primary education curricula.